Enterprise Analytics Professional

At our cutting-edge analytics platform, we empower convenience retailers with actionable insights through advanced technologies.

This is your chance to contribute to a fast-growing company using modern technologies to solve complex challenges.

You will design, implement and maintain data warehousing solutions that form the backbone of our analytics and intelligence platform.

We are seeking a highly experienced Snowflake Engineer with deep expertise in building, optimizing and scaling complex Snowflake queries and data models.

• Design and develop advanced Snowflake SQL queries, stored procedures and UDFs for large-scale analytics.
• Architect efficient data models and schema structures to optimize performance.
• Build, monitor and optimize ETL/ELT pipelines leveraging Snowflake's native features.
• Conduct deep query performance tuning to handle billions of rows with speed and accuracy.
• Implement and manage role-based security, data masking and governance within Snowflake.
• Collaborate closely with data engineers, analysts and product teams to translate requirements into high-performing data solutions.
• Integrate Snowflake with other cloud platforms and BI tools.
• Own and maintain best practices for cost optimization, clustering and partitioning within Snowflake.
• Document architecture, queries and processes for scalability and knowledge sharing.
• Provide technical mentorship and guidance on Snowflake best practices.

Key Responsibilities:

As a Senior Snowflake Developer, you will be responsible for designing, implementing and maintaining data warehousing solutions that meet the demands of our growing business.

You will work closely with cross-functional teams to develop and implement data analytics solutions that drive business growth.

Responsibilities include:

1. Designing and developing Snowflake SQL queries, stored procedures and UDFs for large-scale analytics.
2. Architecting efficient data models and schema structures to optimize performance.
3. Building, monitoring and optimizing ETL/ELT pipelines leveraging Snowflake's native features.
4. Conducting deep query performance tuning to handle billions of rows with speed and accuracy.
5. Implementing and managing role-based security, data masking and governance within Snowflake.

Requirements:

For this role, we require:

• 5+ years of hands-on experience with Snowflake, including query writing, optimization and architecture.
• Proven expertise in writing highly complex SQL queries that scale across very large datasets.
• Strong understanding of data warehousing concepts, dimensional modeling and analytics-driven design.
• Demonstrated success in query performance tuning and cost optimization in Snowflake.
• Proficiency with ETL/ELT workflows, including Snowpipe, Streams and Tasks.
• Expertise in Python or other programming languages for data transformation and orchestration.
• Solid knowledge of AWS services and integration with Snowflake.
• Familiarity with caching and real-time frameworks such as Redis.
• Strong background in SQL and NoSQL databases, with a focus on analytical workloads.
• Experience implementing CI/CD pipelines for data workflows.
• Excellent problem-solving skills and ability to push Snowflake to its technical limits.
• Hands-on experience in fast-paced startup or high-growth environments.

What We Offer:

As a valued member of our team, you will enjoy:

• Exciting career growth opportunities in a rapidly evolving industry.
• A collaborative and innovative workplace culture.
• Competitive compensation and benefits package aligned with your expertise.

Location:

This position is based in Bangalore and requires 100% remote work.